mrq 9e65e05e83 more windows specific fixes, limit gradio to <5.0.0 on linux (it works on windows, but not on my linux machine tm)		2024-11-04 18:00:33 -06:00
..
arch	Windows specific fixes (to-do: find libespeak-ng.dll automatically because it cannot be trusted to do it by default)	2024-11-03 19:19:15 -06:00
__init__.py	added option to load from a model state dict directly instead of a yaml (to-do: do this for LoRAs too), automatically download the default model if none is provided	2024-10-25 22:15:15 -05:00
ar_nar.py	more adjustments (adjustments of early-exit entropy/varentropy thresholds, default rep pen being 1.5, experimental refine-on-stop, etc.)	2024-11-03 18:31:28 -06:00
ar.py	shuffled web UI options hidden by cfg.experimental to its own tab, expose early exit selection to inferencing (it kinda works naively, still need to implement self-speculation)	2024-11-01 21:30:06 -05:00
base.py	more windows specific fixes, limit gradio to <5.0.0 on linux (it works on windows, but not on my linux machine tm)	2024-11-04 18:00:33 -06:00
experimental.py	moved prints to use logger, edited readme (fused_attn doesnt seem stable for training)	2024-08-29 13:27:16 -05:00
lora.py	naive model offloading support (handles automatically splitting parts of the model to requested device per memory constraints, either inferred or requested in the yaml, input tensors are automatically migrated to the right device, it SEEMS to work for training under the test trainer when split between GPU and CPU) (this was specifically only because that Flux imagegen model released so I can test it there)	2024-08-01 20:12:06 -05:00
nar.py	shuffled web UI options hidden by cfg.experimental to its own tab, expose early exit selection to inferencing (it kinda works naively, still need to implement self-speculation)	2024-11-01 21:30:06 -05:00